Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

The role involves building ML systems, improving models across product surfaces, and leveraging data for personalization and user engagement.

The role involves building backend systems, collaborating with teams, contributing to product development from design to release, and maintaining large-scale distributed systems.

As a Senior Data Scientist in Monetization, you'll lead data product development, conduct strategic analysis, build models, track success metrics, and mentor junior data scientists.

Lead engineering initiatives for commerce platforms and AI-native experiences, improving merchant catalog quality and operational efficiency.

Develop and improve machine learning models for Pinterest's various product surfaces, utilizing deep learning and advanced data processing.

Develop and execute ML technology stack vision for Ads, improve ML models, and enhance content understanding using LLMs in a collaborative environment.

Technical lead for third‑party AI tool connectivity and custom MCP servers. Design secure AI integration architecture, build and operate connectors, lead incident response, automate lifecycle and monitoring, integrate with identity and security systems, mentor engineers, and drive cross‑functional onboarding and rollout of AI integration standards.

Lead Pinterest partner marketing for advertisers via third-party partnerships: set vision and strategy, run partner campaigns/events/webinars, design org and resourcing, develop team capabilities, enforce operational rigor and cross-functional alignment, and use AI-powered tools and analytics to optimize partner marketing and drive revenue.

Lead technical architecture and roadmap for tvScientifics ad server independence initiative; coordinate and grow subteams (bidder, index, VAST serving); act as technical DRI for Pinterest integrations; drive shared infrastructure decisions and scale a multidisciplinary engineering organization.

Lead design and implementation of backend systems and statistical models for the Pinterest ads marketplace. Define experiments to measure long-term marketplace effects, design auction and allocation strategies, balance long- and short-term objectives, and drive cross-functional collaboration to improve marketplace operations and insights.